I have got an Oracle 19c database on a Unix server where several PL/SQL procedures extract data in CSV every day.
Now I need to add an extraction to Avro file.
GoldenGate or Debezium (as in this question) are not an option because I can't change the current architecture, moreover I have not found any Oracle function that helps on this task.
How to extract data from Oracle to Avro file using only PL/SQL or bash scripts?
Serializing the data with a Java class (as in this tutorial) running on Oracle is a viable option? And what about its performance?
Related
I have a csv file which has to be bulk imported to oracle dB. I was working on other sybase dB engine before so I had a sample script which has the environment setup for it. Right now I have to do the process in a oracle dB so what should be the first line I know about the rest other parameters but want to know the path which has to be defined when I write
path/bcp dbtable in data.txt
If anyone could help what should be the path for oracle dB
The primary tools for bulk or flat file loading are:
SQL*Loader
External Tables (and here)
GUI Tools like SQL*Developer
It is much more cumbersome, but if necessary you can roll your own solution with the UTL_FILE PL/SQL package.
I have to pull some data from oracle and update the data in snowflake. And ofcourse the size of the data is 5gb.
Is there any procedure to connect to oracle database from snowflake? OR
Do I need to connect them using a programming language as python?
You'll need to unload the data from Oracle and load into Snowflake, as there are no "direct connect" options I've ever heard about.
I'd use SQL*Loader to unload, push the files to AWS S3 (or your cloud vendor's storage), and issue Snowflake COPY INTO TABLE commands, it should be fairly straightforward.
There is no equivalent to Oracle database links in Snowflake. You would need an external process to move the data from Oracle to S3. Then you can configure a Snowpipe task to load from S3 into Snowflake. See Loading Continuously Using Snowpipe for more information.
I would suggest to use python programming to extract and load data from oracle to snowflake. Since your oracle table is being updated daily write python program to generate merge statement dynamically to load your incremental data from oracle to snowflake.
Snowflake supports Java script based stored procedure so you can use stored procedure to generate merge statement dynamically by passing table name as parameter and you can call it via python.
Initial load from oracle to snowflake may take time as you have 5GB data from your source system.
Do we have any utility to sync data between Oracle & Neo4J database. I want to use Neo4j in readonly mode & all writes will happen to oracle DB.
I think this depends on how often you want to have the data synced. Are you looking for a periodic sync/ETL process (say hourly or daily), or are looking for live updates into Neo4j?
I'm not aware of tools designed for this, but it's not terribly difficult to script yourself.
A periodic sync is obviously easiest. You can do that directly using the Java API and connecting via JDBC to Oracle. You could also just dump the data from Oracle as a CSV and import into Neo4j. This would be done similiarly to how data is imported from PostreSQL in this article: http://neo4j.com/developer/guide-importing-data-and-etl/
There is a SO response for exporting data from Oracle using sqlplus/spool:
How do I spool to a CSV formatted file using SQLPLUS?
If you're looking for live syncing, you'd probably do this either through monitoring the transaction log or by adding triggers onto your tables, depending on the complexity of your data.
I am using SQL Developer 1.5.5 and I need to export some tables from an Oracle 11g database to an xls file. I have tried using spool, but I cannot put in a stored procedure as error comes up. Is there some other alternative to do this?
I am trying to create reports from data base by executing the procedure.
Thanks.
Anton Scheffer (from AMIS.NL) wrote an APEX plugin to load Oracle data into a Excel file. It works very well and it can be used alone (without APEX) with a additional work.
Check out: http://technology.amis.nl/2011/02/19/create-an-excel-file-with-plsql/
You can also use SQLX (see http://technology.amis.nl/2006/01/20/generate-anative-excel-file-with-sqlx/) but it could be very complex depending on what you ha
What is Oracle SQL Loader and what is it used for?
SQL Loader is utility provided by Oracle which enables us to load data from flat files into database tables. It is well covered in the documentation (check the Utilities Guide). The key thing is that SQL Loader is an external OS program.
External tables were introduced in Oracle 9i, allowing us to define tables whose data is supplied from flat files. These provide most of the functionality of SQL Loader with a lot more convenience. For instance we can manipulate and re-format the data using SQL functions which is simpler than using SQL Loader's syntax. It also means that we can pull the data from inside the database rather than pushing it from the OS.
However, for loading huge volumes of data in ultra-quick time a well-tuned SQL Loader control file will beat external tables for performance. Also, if there is a complicated OS process associated with the data files - e.g. ftp, gunzip, pre-processing with sed or awk - it can be more convenient to call SQL Loader from inside the shell script rather than attempting to hook up with a database job. So SQL Loader is still useful in certain scenarios but it is not necessarily the automatic first choice.
It is one of Oracle's bulk data loading tools.
You use it to load data from flat files (such as CSV) into the database.
For details, please check their documentation (or this FAQ)
To transfer data from one Oracle database to another oracle database, we use oracle data pump. And in oracle versions previous to 10g we use oracle export/import. But if you want to transfer data from a non oracle database to an oracle database, you create a flat file of the data in the non oracle database and using SQL Loader load the data into oracle database.
Following is procedure to load the data from Third Party Database into Oracle using SQL Loader.
1.Convert the Data into Flat file using third party database command.
2.Create the Table Structure in Oracle Database using appropriate datatypes
3.Write a Control File, describing how to interpret the flat file and options to load the data.
4.Execute SQL Loader utility specifying the control file in the command line argument